Scholarly Research Excellence

ICCV 2018 : 20th International Conference on Climate Variability

London, United Kingdom
April 24 - 25, 2018

Conference Code: 18UK04ICCV

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Digital Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICCV 2018 has teamed up with the Special Journal Issue on Climate Variability. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   February 28, 2018
Notification of Acceptance/Rejection   March 9, 2018
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   March 23, 2018
Conference Dates   April 24 - 25, 2018

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Prediction on Housing Price Based on Deep Learning
Li Yu, Chenlu Jiao, Hongrun Xin, Yan Wang, Kaiyang Wang
2) Mix Proportioning and Strength Prediction of High Performance Concrete Including Waste Using Artificial Neural Network
D. G. Badagha, C. D. Modhera, S. A. Vasanwala
3) Hybrid Approach for Software Defect Prediction Using Machine Learning with Optimization Technique
C. Manjula, Lilly Florence
4) Projections of Climate Change in the Rain Regime of the Ibicui River Basin
Claudineia Brazil, Elison Eduardo Bierhals, Francisco Pereira, José Leandro Néris, Matheus Rippel, Luciane Salvi
5) Mapping of Solar Radiation Anomalies Based on Climate Change
Elison Eduardo Jardim Bierhals, Claudineia Brazil, Francisco Pereira, Elton Rossini
6) Crude Oil Price Prediction Using LSTM Networks
Varun Gupta, Ankit Pandey
7) Classifying and Predicting Efficiencies Using Interval DEA Grid Setting
Yiannis G. Smirlis
8) Investigation of Improved Chaotic Signal Tracking by Echo State Neural Networks and Multilayer Perceptron via Training of Extended Kalman Filter Approach
Farhad Asadi, S. Hossein Sadati
9) Prediction of Rubberised Concrete Strength by Using Artificial Neural Networks
A. M. N. El-Khoja, A. F. Ashour, J. Abdalhmid, X. Dai, A. Khan
10) A Constitutional Approach to the Rights to Water and Energy
Antonios Maniatis
11) Introduce Applicability of Multi-Layer Perceptron to Predict the Behaviour of Semi-Interlocking Masonry Panel
O. Zarrin, M. Ramezanshirazi
12) Real Time Classification of Political Tendency of Twitter Spanish Users based on Sentiment Analysis
Marc Solé, Francesc Giné, Magda Valls, Nina Bijedic
13) Vulnerability of Indian Agriculture to Climate Change: A Study of the Himalayan Region State
Rajendra Kumar Isaac, Monisha Isaac
14) Development of Prediction Models of Day-Ahead Hourly Building Electricity Consumption and Peak Power Demand Using the Machine Learning Method
Dalin Si, Azizan Aziz, Bertrand Lasternas
15) Diagnosis of Diabetes Using Computer Methods: Soft Computing Methods for Diabetes Detection Using Iris
Piyush Samant, Ravinder Agarwal

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